Assessment of Collaborative Problem Solving in Engineering Students Through Hands-On Simulations

Contribution: This article discusses the use of manufacturing simulation games to study collaborative problemsolving skills in engineering students. The simulation represents the mass production paradigm in which large quantities of identical products are produced. Empirical data is collected from the simulation to evaluate the skills engineering students used in solving the problem and their group effectiveness. Background: The use of simulation games to teach problem solving in design and manufacturing is an effective approach to convey concepts to students. Simulation games engage students in experiential and collaborative learning with fun elements. Research Questions: How does hands-on simulation engage students in collaborative problem solving? How does participation in collaborative problem solving affect group effectiveness? Methodology: This work presents a study of 37 university-level engineering students in the United States. Participants worked in groups completing the simulation game and responded to surveys on their various skills used. Findings: Participants utilized analytical, metacognitive, and thinking skills in their engagement, reported that the simulation games enhanced their understanding of manufacturing concepts and active collaboration improved problem-solving effectiveness.

[1]  Jacek Uziak,et al.  Task Affect and Task Understanding in Engineering Problem Solving , 2019, Journal of Technology Education.

[2]  Agnes Galambosi,et al.  Lampshade Game for lean manufacturing , 2009 .

[3]  M. Karp,et al.  Career and technical education in the United States , 2006 .

[4]  M.-H. Chang,et al.  An analysis of collaborative problem-solving activities mediated by individual-based and collaborative computer simulations , 2017, J. Comput. Assist. Learn..

[5]  Samuel H. Huang,et al.  Simulation games in engineering education: A state‐of‐the‐art review , 2011, Comput. Appl. Eng. Educ..

[6]  Yasemin Katranci,et al.  Meta-cognitive Aspects of Solving Indefinite Integral Problems , 2015 .

[7]  Akshay Kumar,et al.  Applying quality function deployment for the design of a next-generation manufacturing simulation game , 2004 .

[8]  N. Adams Bloom's taxonomy of cognitive learning objectives. , 2015, Journal of the Medical Library Association : JMLA.

[9]  Suzanne M. Kresta,et al.  Hands‐on Demonstrations: An Alternative to Full Scale Lab Experiments , 1998 .

[10]  Cheryl A. Bodnar,et al.  Engineers at Play: Games as Teaching Tools for Undergraduate Engineering Students , 2016 .

[11]  Leo De Vin,et al.  Game-based Lean Production training of university students and industrial employees , 2018 .

[12]  Kevin Linderman,et al.  Metacognition-based process improvement practices , 2019, International Journal of Production Economics.

[13]  Markus Schneider,et al.  Simulation Game for Intelligent Production Logistics – The PuLL® Learning Factory , 2016 .

[14]  García Peñalvo,et al.  Entrepreneurial and problem solving skills in software engineers , 2015 .

[15]  Timothy W. Simpson Experiences with a Hands-on Activity to Contrast Craft Production and Mass Production in the Classroom* , 2003 .

[16]  Thomas C. Harmon,et al.  The impact of a simulation-based learning design project on student learning , 2001, IEEE Trans. Educ..

[17]  Bob Gregory,et al.  Teaching Lean Manufacturing With Simulations and Games: A Survey and Future Directions , 2010 .

[18]  H. Marsh,et al.  Development and Validation of a Scale to Measure Optimal Experience: The Flow State Scale , 1996 .

[19]  Patrick Griffin,et al.  Assessment and teaching of 21st century skills : methods and approach , 2015 .

[20]  R. A. Cooke,et al.  The Impact of Group Interaction Styles on Problem-Solving Effectiveness , 1994 .

[21]  David Bingham,et al.  Team effectiveness – development of an audit questionnaire , 2002 .

[22]  M. Valcke,et al.  Supporting active cognitive processing in collaborative groups: The potential of Bloom's taxonomy as a labeling tool , 2009, Internet High. Educ..

[23]  Dominic Gorecky,et al.  Serious Games and Virtual Simulator for Automotive Manufacturing Education & Training , 2015 .

[24]  C. Douglas Wetzel,et al.  The Effectiveness of Games for Educational Purposes: A Review of Recent Research , 1992 .

[25]  Jannicke Baalsrud Hauge,et al.  Evaluation of Simulation Games for Teaching Engineering and Manufacturing , 2012, VS-GAMES.

[26]  Denis Johnson,et al.  Utilizing Simtronics, a chemical engineering process simulation software, in chemical engineering coursework to reduce the skills gap , 2019, Comput. Appl. Eng. Educ..

[27]  Asma Ounnas,et al.  A metrics framework for evaluating group formation , 2007, GROUP '07.

[28]  M. Scheerer,et al.  Problem Solving , 1967, Nature.